The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 25, 1992

Filed:

Dec. 28, 1990
Applicant:
Inventors:

Raymond L Higgins, Kitchener, CA;

Dennis W Golem, Waterloo, CA;

Assignee:

NCR Corporation, Dayton, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K / ;
U.S. Cl.
CPC ...
382 30 ; 382 16 ; 382 10 ;
Abstract

A system and method are disclosed for optical scanning and recognition of alphanumeric characters of different sizes and fonts such as E13B, OCRA, OCRB, and Farington 7B type fonts recorded on documents such as bank drafts and checks. The system comprises an optical scanner, a microprocessor, a read-only-memory (ROM), a random-access-memory (RAM, with a stored program) for storing data and a plurality of predetermined character-identification patterns (templates). Each template includes three configurations: an actual pixel patterns (bit configuration) or a character, a configuration representing significant portions of the character which remain the same and do not change despite changes in size of the character, and a configuration representing portions of the character which are given added weight in distinguishing between similar characters. The scanner optically scans each document and produces a plurality of gray-scale pixel values which are stored in the RAM under control of the microprocessor. The microprocessor processes the stored pixel values, and effectively locates and segments each character on the document. The microprocessor then converts the segmented-character pixel value to binary data, and selects, from the plurality of templates, the template that matches the binary data, the matching template serving to identify (recognize) the segmented character.


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